Eric Shea‐Brown
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 64
- Visual perception and processing mechanisms 8
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- Neuroscience and Neural Engineering 18
- Photoreceptor and optogenetics research 10
- Co-authors
- Krešimir Josić́ (12 shared papers)Brent Doiron (4 shared papers)Jaime de la Rocha (3 shared papers)Alex D. Reyes (1 shared paper)Joshua H. Goldwyn (5 shared papers)Herschel Rabitz (3 shared papers)Yu Hu (7 shared papers)Joel Zylberberg (9 shared papers)
- Journals
- PLoS Computational Biology (10 papers)Neural Computation (7 papers)BMC Neuroscience (5 papers)Journal of Neurophysiology (3 papers)Journal of Computational Neuroscience (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eric Shea‐Brown
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 1.9k
- Cellular and Molecular Neuroscience 1.0k
- Statistical and Nonlinear Physics 715
- Sensory Systems 66
- Neurology 155
Countries citing papers authored by Eric Shea‐Brown
This map shows the geographic impact of Eric Shea‐Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Shea‐Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Shea‐Brown more than expected).
Fields of papers citing papers by Eric Shea‐Brown
This network shows the impact of papers produced by Eric Shea‐Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Shea‐Brown. The network helps show where Eric Shea‐Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Shea‐Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 497 | |
| 2 | 2011 | 127 | |
| 3 | 2012 | 113 | |
| 4 | 2008 | 107 | |
| 5 | 2007 | 104 | |
| 6 | 2006 | 98 | |
| 7 | 2011 | 96 | |
| 8 | 2016 | 86 | |
| 9 | 2007 | 79 | |
| 10 | 2009 | 60 | |
| 11 | 2018 | 60 | |
| 12 | 2014 | 49 | |
| 13 | 2021 | 46 | |
| 14 | 2019 | 42 | |
| 15 | 2011 | 39 | |
| 16 | 2017 | 36 | |
| 17 | 2012 | 35 | |
| 18 | 2015 | 35 | |
| 19 | 2017 | 34 | |
| 20 | 2008 | 32 |
About Eric Shea‐Brown
Eric Shea‐Brown is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (64 papers), stochastic dynamics and bifurcation (25 papers), Neuroscience and Neural Engineering (18 papers), Neural Networks and Applications (12 papers), Photoreceptor and optogenetics research (10 papers), Advanced Memory and Neural Computing (9 papers), Visual perception and processing mechanisms (8 papers) and Gene Regulatory Network Analysis (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (1.0k citations), Statistical and Nonlinear Physics (715 citations), Sensory Systems (66 citations) and Neurology (155 citations). Eric Shea‐Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Krešimir Josić́, Brent Doiron, Jaime de la Rocha, Alex D. Reyes, Joshua H. Goldwyn, Herschel Rabitz, Yu Hu, Joel Zylberberg, Jeff Moehlis and Xiao‐Jiang Feng. Their work appears in journals such as PLoS Computational Biology, Neural Computation, BMC Neuroscience, Journal of Neurophysiology and Journal of Computational Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.